Download
Floegel-et-al_2017_Serum metabolites and risk of myocardial infarction and ischemic stroke.pdf 1,13MB
WeightNameValue
1000 Titel
  • Serum metabolites and risk of myocardial infarction and ischemic stroke: a targeted metabolomic approach in two German prospective cohorts
1000 Autor/in
  1. Floegel, Anna |
  2. Kühn, Tilman |
  3. Sookthai, Disorn |
  4. Johnson, Theron |
  5. Prehn, Cornelia |
  6. Rolle-Kampczyk, Ulrike |
  7. Otto, Wolfgang |
  8. Weikert, Cornelia |
  9. Illig, Thomas |
  10. von Bergen, Martin |
  11. Adamski, Jerzy |
  12. Böing, Heiner |
  13. Kaaks, Rudolf |
  14. Pischon, Tobias |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-11-27
1000 Erschienen in
1000 Quellenangabe
  • 33(1): 55-66
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • http://dx.doi.org/10.1007/s10654-017-0333-0 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5803284/ |
1000 Ergänzendes Material
  • https://link.springer.com/article/10.1007%2Fs10654-017-0333-0#SupplementaryMaterial |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Metabolomic approaches in prospective cohorts may offer a unique snapshot into early metabolic perturbations that are associated with a higher risk of cardiovascular diseases (CVD) in healthy people. We investigated the association of 105 serum metabolites, including acylcarnitines, amino acids, phospholipids and hexose, with risk of myocardial infarction (MI) and ischemic stroke in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam (27,548 adults) and Heidelberg (25,540 adults) cohorts. Using case-cohort designs, we measured metabolites among individuals who were free of CVD and diabetes at blood draw but developed MI (n = 204 and n = 228) or stroke (n = 147 and n = 121) during follow-up (mean, 7.8 and 7.3 years) and among randomly drawn subcohorts (n = 2214 and n = 770). We used Cox regression analysis and combined results using meta-analysis. Independent of classical CVD risk factors, ten metabolites were associated with risk of MI in both cohorts, including sphingomyelins, diacyl-phosphatidylcholines and acyl-alkyl-phosphatidylcholines with pooled relative risks in the range of 1.21–1.40 per one standard deviation increase in metabolite concentrations. The metabolites showed positive correlations with total- and LDL-cholesterol (r ranged from 0.13 to 0.57). When additionally adjusting for total-, LDL- and HDL-cholesterol, triglycerides and C-reactive protein, acyl-alkyl-phosphatidylcholine C36:3 and diacyl-phosphatidylcholines C38:3 and C40:4 remained associated with risk of MI. When added to classical CVD risk models these metabolites further improved CVD prediction (c-statistics increased from 0.8365 to 0.8384 in EPIC-Potsdam and from 0.8344 to 0.8378 in EPIC-Heidelberg). None of the metabolites was consistently associated with stroke risk. Alterations in sphingomyelin and phosphatidylcholine metabolism, and particularly metabolites of the arachidonic acid pathway are independently associated with risk of MI in healthy adults.
1000 Sacherschließung
lokal Myocardial infarction
lokal Metabolomics
lokal Biomarker
lokal Stroke
lokal Prospective cohort study
1000 Fachgruppe
  1. Medizin |
  2. Gesundheitswesen |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. http://d-nb.info/gnd/1118006844|https://frl.publisso.de/adhoc/creator/S8O8aG4sIFRpbG1hbg==|https://frl.publisso.de/adhoc/creator/U29va3RoYWksIERpc29ybg==|https://frl.publisso.de/adhoc/creator/Sm9obnNvbiwgVGhlcm9u|https://frl.publisso.de/adhoc/creator/UHJlaG4sIENvcm5lbGlh|https://frl.publisso.de/adhoc/creator/Um9sbGUtS2FtcGN6eWssIFVscmlrZQ==|https://frl.publisso.de/adhoc/creator/T3R0bywgV29sZmdhbmc=|https://frl.publisso.de/adhoc/creator/V2Vpa2VydCwgQ29ybmVsaWE=|https://frl.publisso.de/adhoc/creator/SWxsaWcsIFRob21hcw==|https://frl.publisso.de/adhoc/creator/dm9uIEJlcmdlbiwgTWFydGlu|https://frl.publisso.de/adhoc/creator/QWRhbXNraSwgSmVyenk=|http://d-nb.info/gnd/1111919534|https://frl.publisso.de/adhoc/creator/S2Fha3MsIFJ1ZG9sZg==|https://frl.publisso.de/adhoc/creator/UGlzY2hvbiwgVG9iaWFz
1000 Förderer
  1. Helmholtz Association |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. Metabolic Dysfunction
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Helmholtz Association |
    1000 Förderprogramm Metabolic Dysfunction
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6407786.rdf
1000 Erstellt am 2018-04-20T10:54:51.606+0200
1000 Erstellt von 266
1000 beschreibt frl:6407786
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Fri Jul 27 11:16:14 CEST 2018
1000 Objekt bearb. Fri Jul 27 11:16:14 CEST 2018
1000 Vgl. frl:6407786
1000 Oai Id
  1. oai:frl.publisso.de:frl:6407786 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source